data: $integral dcode_dist$ [ Features Political Rwanda Districts dist

∫dcode_dist [ Features Political Rwanda Districts dist_na ]

Districts dist_na int_dcode_dist from Features Political Rwanda: Rwanda 1st, 2nd, and 3rd Order Administrative Boundaries.

Independent Variables (Grids)

code_dist: grid: /code_dist (ids) unordered [ (11) () () (Т�W) () () () () () () () () () () () () (X�� ) () () () () () () () () () (�>) () () () ()] :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
PGtype: varchar
units: ids ids

Last updated: Tue, 09 Jan 2018 15:33:47 GMT

Data Views

	code_dist
$integral dcode_dist$ [ Features Political Rwanda Districts dist_na ][ \| code_dist]	M

Filters

Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.

Monthly Climatology calculates a monthly climatology by averaging over all years.
anomalies calculates the difference between the (above) monthly climatology and the original data.
Integrate along code_dist
Differentiate along code_dist
Take differences along code_dist